ryan_model314 / trainer_state.json
rshrott's picture
🍻 cheers
01ad907 verified
raw
history blame
45.8 kB
{
"best_metric": 0.2531912922859192,
"best_model_checkpoint": "./ryan_model314/checkpoint-600",
"epoch": 4.0,
"eval_steps": 100,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"grad_norm": 1.1103402376174927,
"learning_rate": 0.00019920000000000002,
"loss": 0.5731,
"step": 10
},
{
"epoch": 0.03,
"grad_norm": 0.8193413019180298,
"learning_rate": 0.0001984,
"loss": 0.4217,
"step": 20
},
{
"epoch": 0.05,
"grad_norm": 1.3536686897277832,
"learning_rate": 0.0001976,
"loss": 0.3709,
"step": 30
},
{
"epoch": 0.06,
"grad_norm": 0.9998810887336731,
"learning_rate": 0.0001968,
"loss": 0.3398,
"step": 40
},
{
"epoch": 0.08,
"grad_norm": 1.5689244270324707,
"learning_rate": 0.000196,
"loss": 0.3346,
"step": 50
},
{
"epoch": 0.1,
"grad_norm": 1.1778826713562012,
"learning_rate": 0.0001952,
"loss": 0.3406,
"step": 60
},
{
"epoch": 0.11,
"grad_norm": 1.3193926811218262,
"learning_rate": 0.0001944,
"loss": 0.2755,
"step": 70
},
{
"epoch": 0.13,
"grad_norm": 1.1302804946899414,
"learning_rate": 0.00019360000000000002,
"loss": 0.3944,
"step": 80
},
{
"epoch": 0.14,
"grad_norm": 0.8255844712257385,
"learning_rate": 0.0001928,
"loss": 0.3473,
"step": 90
},
{
"epoch": 0.16,
"grad_norm": 1.0871790647506714,
"learning_rate": 0.000192,
"loss": 0.3042,
"step": 100
},
{
"epoch": 0.16,
"eval_loss": 0.3673088252544403,
"eval_na_accuracy": 0.928,
"eval_ordinal_accuracy": 0.4671280276816609,
"eval_runtime": 110.8646,
"eval_samples_per_second": 9.02,
"eval_steps_per_second": 1.128,
"step": 100
},
{
"epoch": 0.18,
"grad_norm": 1.5816177129745483,
"learning_rate": 0.0001912,
"loss": 0.4058,
"step": 110
},
{
"epoch": 0.19,
"grad_norm": 0.8431822061538696,
"learning_rate": 0.0001904,
"loss": 0.2781,
"step": 120
},
{
"epoch": 0.21,
"grad_norm": 1.0826754570007324,
"learning_rate": 0.0001896,
"loss": 0.2587,
"step": 130
},
{
"epoch": 0.22,
"grad_norm": 3.7366294860839844,
"learning_rate": 0.0001888,
"loss": 0.3432,
"step": 140
},
{
"epoch": 0.24,
"grad_norm": 0.5233088731765747,
"learning_rate": 0.000188,
"loss": 0.3484,
"step": 150
},
{
"epoch": 0.26,
"grad_norm": 1.8766111135482788,
"learning_rate": 0.00018720000000000002,
"loss": 0.3597,
"step": 160
},
{
"epoch": 0.27,
"grad_norm": 1.0037935972213745,
"learning_rate": 0.00018640000000000003,
"loss": 0.288,
"step": 170
},
{
"epoch": 0.29,
"grad_norm": 1.3281046152114868,
"learning_rate": 0.0001856,
"loss": 0.3207,
"step": 180
},
{
"epoch": 0.3,
"grad_norm": 1.4793013334274292,
"learning_rate": 0.00018480000000000002,
"loss": 0.3372,
"step": 190
},
{
"epoch": 0.32,
"grad_norm": 0.8796727657318115,
"learning_rate": 0.00018400000000000003,
"loss": 0.2904,
"step": 200
},
{
"epoch": 0.32,
"eval_loss": 0.29769936203956604,
"eval_na_accuracy": 0.933,
"eval_ordinal_accuracy": 0.5790080738177624,
"eval_runtime": 39.6284,
"eval_samples_per_second": 25.234,
"eval_steps_per_second": 3.154,
"step": 200
},
{
"epoch": 0.34,
"grad_norm": 1.3502057790756226,
"learning_rate": 0.0001832,
"loss": 0.3519,
"step": 210
},
{
"epoch": 0.35,
"grad_norm": 1.5546174049377441,
"learning_rate": 0.00018240000000000002,
"loss": 0.3243,
"step": 220
},
{
"epoch": 0.37,
"grad_norm": 0.7677227854728699,
"learning_rate": 0.00018160000000000002,
"loss": 0.2914,
"step": 230
},
{
"epoch": 0.38,
"grad_norm": 1.1754639148712158,
"learning_rate": 0.0001808,
"loss": 0.3539,
"step": 240
},
{
"epoch": 0.4,
"grad_norm": 0.8472470641136169,
"learning_rate": 0.00018,
"loss": 0.2395,
"step": 250
},
{
"epoch": 0.42,
"grad_norm": 1.1917964220046997,
"learning_rate": 0.00017920000000000002,
"loss": 0.2295,
"step": 260
},
{
"epoch": 0.43,
"grad_norm": 0.7398644685745239,
"learning_rate": 0.0001784,
"loss": 0.2398,
"step": 270
},
{
"epoch": 0.45,
"grad_norm": 0.5953208804130554,
"learning_rate": 0.0001776,
"loss": 0.2786,
"step": 280
},
{
"epoch": 0.46,
"grad_norm": 2.0648913383483887,
"learning_rate": 0.00017680000000000001,
"loss": 0.3661,
"step": 290
},
{
"epoch": 0.48,
"grad_norm": 1.4048805236816406,
"learning_rate": 0.00017600000000000002,
"loss": 0.2648,
"step": 300
},
{
"epoch": 0.48,
"eval_loss": 0.2830840051174164,
"eval_na_accuracy": 0.944,
"eval_ordinal_accuracy": 0.5940023068050749,
"eval_runtime": 39.7255,
"eval_samples_per_second": 25.173,
"eval_steps_per_second": 3.147,
"step": 300
},
{
"epoch": 0.5,
"grad_norm": 0.8102580904960632,
"learning_rate": 0.0001752,
"loss": 0.2359,
"step": 310
},
{
"epoch": 0.51,
"grad_norm": 2.0220913887023926,
"learning_rate": 0.0001744,
"loss": 0.2557,
"step": 320
},
{
"epoch": 0.53,
"grad_norm": 1.2111886739730835,
"learning_rate": 0.00017360000000000002,
"loss": 0.3025,
"step": 330
},
{
"epoch": 0.54,
"grad_norm": 1.788378119468689,
"learning_rate": 0.0001728,
"loss": 0.3067,
"step": 340
},
{
"epoch": 0.56,
"grad_norm": 0.7332974076271057,
"learning_rate": 0.000172,
"loss": 0.2612,
"step": 350
},
{
"epoch": 0.58,
"grad_norm": 0.5220205783843994,
"learning_rate": 0.00017120000000000001,
"loss": 0.2924,
"step": 360
},
{
"epoch": 0.59,
"grad_norm": 0.8991191387176514,
"learning_rate": 0.0001704,
"loss": 0.2379,
"step": 370
},
{
"epoch": 0.61,
"grad_norm": 1.6633837223052979,
"learning_rate": 0.0001696,
"loss": 0.2792,
"step": 380
},
{
"epoch": 0.62,
"grad_norm": 0.9553330540657043,
"learning_rate": 0.0001688,
"loss": 0.2512,
"step": 390
},
{
"epoch": 0.64,
"grad_norm": 0.4544942080974579,
"learning_rate": 0.000168,
"loss": 0.3036,
"step": 400
},
{
"epoch": 0.64,
"eval_loss": 0.27759096026420593,
"eval_na_accuracy": 0.949,
"eval_ordinal_accuracy": 0.5870818915801614,
"eval_runtime": 39.7611,
"eval_samples_per_second": 25.15,
"eval_steps_per_second": 3.144,
"step": 400
},
{
"epoch": 0.66,
"grad_norm": 1.2751814126968384,
"learning_rate": 0.0001672,
"loss": 0.3042,
"step": 410
},
{
"epoch": 0.67,
"grad_norm": 1.791074514389038,
"learning_rate": 0.0001664,
"loss": 0.3341,
"step": 420
},
{
"epoch": 0.69,
"grad_norm": 0.9887642860412598,
"learning_rate": 0.0001656,
"loss": 0.2868,
"step": 430
},
{
"epoch": 0.7,
"grad_norm": 1.3511923551559448,
"learning_rate": 0.0001648,
"loss": 0.3763,
"step": 440
},
{
"epoch": 0.72,
"grad_norm": 1.7992609739303589,
"learning_rate": 0.000164,
"loss": 0.2264,
"step": 450
},
{
"epoch": 0.74,
"grad_norm": 1.0241813659667969,
"learning_rate": 0.0001632,
"loss": 0.3018,
"step": 460
},
{
"epoch": 0.75,
"grad_norm": 0.628193736076355,
"learning_rate": 0.00016240000000000002,
"loss": 0.3323,
"step": 470
},
{
"epoch": 0.77,
"grad_norm": 0.8471026420593262,
"learning_rate": 0.00016160000000000002,
"loss": 0.2005,
"step": 480
},
{
"epoch": 0.78,
"grad_norm": 1.1799852848052979,
"learning_rate": 0.0001608,
"loss": 0.2984,
"step": 490
},
{
"epoch": 0.8,
"grad_norm": 1.595058560371399,
"learning_rate": 0.00016,
"loss": 0.2656,
"step": 500
},
{
"epoch": 0.8,
"eval_loss": 0.2846027612686157,
"eval_na_accuracy": 0.931,
"eval_ordinal_accuracy": 0.6101499423298731,
"eval_runtime": 39.9154,
"eval_samples_per_second": 25.053,
"eval_steps_per_second": 3.132,
"step": 500
},
{
"epoch": 0.82,
"grad_norm": 0.9246352910995483,
"learning_rate": 0.00015920000000000002,
"loss": 0.3591,
"step": 510
},
{
"epoch": 0.83,
"grad_norm": 0.9456105828285217,
"learning_rate": 0.00015840000000000003,
"loss": 0.3569,
"step": 520
},
{
"epoch": 0.85,
"grad_norm": 1.111274003982544,
"learning_rate": 0.0001576,
"loss": 0.3243,
"step": 530
},
{
"epoch": 0.86,
"grad_norm": NaN,
"learning_rate": 0.00015688,
"loss": 0.2911,
"step": 540
},
{
"epoch": 0.88,
"grad_norm": 0.8232502341270447,
"learning_rate": 0.00015616000000000002,
"loss": 0.3236,
"step": 550
},
{
"epoch": 0.9,
"grad_norm": 0.6359846591949463,
"learning_rate": 0.00015536,
"loss": 0.3211,
"step": 560
},
{
"epoch": 0.91,
"grad_norm": 0.545005738735199,
"learning_rate": 0.00015456,
"loss": 0.205,
"step": 570
},
{
"epoch": 0.93,
"grad_norm": 0.6029797196388245,
"learning_rate": 0.00015376000000000002,
"loss": 0.1928,
"step": 580
},
{
"epoch": 0.94,
"grad_norm": 0.7442355155944824,
"learning_rate": 0.00015296000000000003,
"loss": 0.3273,
"step": 590
},
{
"epoch": 0.96,
"grad_norm": 0.6751519441604614,
"learning_rate": 0.00015216,
"loss": 0.2954,
"step": 600
},
{
"epoch": 0.96,
"eval_loss": 0.2531912922859192,
"eval_na_accuracy": 0.947,
"eval_ordinal_accuracy": 0.5951557093425606,
"eval_runtime": 39.4037,
"eval_samples_per_second": 25.378,
"eval_steps_per_second": 3.172,
"step": 600
},
{
"epoch": 0.98,
"grad_norm": 1.6347012519836426,
"learning_rate": 0.00015136000000000001,
"loss": 0.2256,
"step": 610
},
{
"epoch": 0.99,
"grad_norm": 6.180319309234619,
"learning_rate": 0.00015056000000000002,
"loss": 0.2003,
"step": 620
},
{
"epoch": 1.01,
"grad_norm": 0.8919633626937866,
"learning_rate": 0.00014976,
"loss": 0.198,
"step": 630
},
{
"epoch": 1.02,
"grad_norm": 0.9197341203689575,
"learning_rate": 0.00014896,
"loss": 0.1685,
"step": 640
},
{
"epoch": 1.04,
"grad_norm": 0.37014976143836975,
"learning_rate": 0.00014816000000000002,
"loss": 0.1729,
"step": 650
},
{
"epoch": 1.06,
"grad_norm": 0.8919755220413208,
"learning_rate": 0.00014736,
"loss": 0.1993,
"step": 660
},
{
"epoch": 1.07,
"grad_norm": 0.7291600704193115,
"learning_rate": 0.00014656,
"loss": 0.1893,
"step": 670
},
{
"epoch": 1.09,
"grad_norm": 2.347400665283203,
"learning_rate": 0.00014576000000000001,
"loss": 0.1799,
"step": 680
},
{
"epoch": 1.1,
"grad_norm": 0.3188568949699402,
"learning_rate": 0.00014496,
"loss": 0.167,
"step": 690
},
{
"epoch": 1.12,
"grad_norm": 1.342278242111206,
"learning_rate": 0.00014416,
"loss": 0.1991,
"step": 700
},
{
"epoch": 1.12,
"eval_loss": 0.26034072041511536,
"eval_na_accuracy": 0.942,
"eval_ordinal_accuracy": 0.6078431372549019,
"eval_runtime": 39.5088,
"eval_samples_per_second": 25.311,
"eval_steps_per_second": 3.164,
"step": 700
},
{
"epoch": 1.14,
"grad_norm": 0.48655757308006287,
"learning_rate": 0.00014336,
"loss": 0.1885,
"step": 710
},
{
"epoch": 1.15,
"grad_norm": 0.556333065032959,
"learning_rate": 0.00014256000000000002,
"loss": 0.1449,
"step": 720
},
{
"epoch": 1.17,
"grad_norm": 0.4880894422531128,
"learning_rate": 0.00014176,
"loss": 0.1164,
"step": 730
},
{
"epoch": 1.18,
"grad_norm": 0.599926233291626,
"learning_rate": 0.00014096,
"loss": 0.2113,
"step": 740
},
{
"epoch": 1.2,
"grad_norm": 0.6070149540901184,
"learning_rate": 0.00014016,
"loss": 0.1534,
"step": 750
},
{
"epoch": 1.22,
"grad_norm": 0.7789746522903442,
"learning_rate": 0.00013936,
"loss": 0.1655,
"step": 760
},
{
"epoch": 1.23,
"grad_norm": 0.5523375868797302,
"learning_rate": 0.00013856,
"loss": 0.298,
"step": 770
},
{
"epoch": 1.25,
"grad_norm": 2.4257819652557373,
"learning_rate": 0.00013776,
"loss": 0.2101,
"step": 780
},
{
"epoch": 1.26,
"grad_norm": 0.5729731321334839,
"learning_rate": 0.00013696,
"loss": 0.133,
"step": 790
},
{
"epoch": 1.28,
"grad_norm": 0.4050444960594177,
"learning_rate": 0.00013616,
"loss": 0.1678,
"step": 800
},
{
"epoch": 1.28,
"eval_loss": 0.2904650568962097,
"eval_na_accuracy": 0.942,
"eval_ordinal_accuracy": 0.6332179930795848,
"eval_runtime": 39.7139,
"eval_samples_per_second": 25.18,
"eval_steps_per_second": 3.148,
"step": 800
},
{
"epoch": 1.3,
"grad_norm": 4.782747745513916,
"learning_rate": 0.00013536,
"loss": 0.207,
"step": 810
},
{
"epoch": 1.31,
"grad_norm": 2.577669143676758,
"learning_rate": 0.00013455999999999999,
"loss": 0.1818,
"step": 820
},
{
"epoch": 1.33,
"grad_norm": 2.8163273334503174,
"learning_rate": 0.00013376,
"loss": 0.1761,
"step": 830
},
{
"epoch": 1.34,
"grad_norm": 2.213799238204956,
"learning_rate": 0.00013296,
"loss": 0.2966,
"step": 840
},
{
"epoch": 1.36,
"grad_norm": 0.8946444988250732,
"learning_rate": 0.00013216,
"loss": 0.1569,
"step": 850
},
{
"epoch": 1.38,
"grad_norm": 0.6494708061218262,
"learning_rate": 0.00013136000000000002,
"loss": 0.1746,
"step": 860
},
{
"epoch": 1.39,
"grad_norm": 1.0058079957962036,
"learning_rate": 0.00013056000000000002,
"loss": 0.1204,
"step": 870
},
{
"epoch": 1.41,
"grad_norm": 1.1752161979675293,
"learning_rate": 0.00012976,
"loss": 0.2082,
"step": 880
},
{
"epoch": 1.42,
"grad_norm": 0.5655858516693115,
"learning_rate": 0.00012896,
"loss": 0.1971,
"step": 890
},
{
"epoch": 1.44,
"grad_norm": 2.5486743450164795,
"learning_rate": 0.00012816000000000002,
"loss": 0.2514,
"step": 900
},
{
"epoch": 1.44,
"eval_loss": 0.25656750798225403,
"eval_na_accuracy": 0.94,
"eval_ordinal_accuracy": 0.6089965397923875,
"eval_runtime": 39.7194,
"eval_samples_per_second": 25.177,
"eval_steps_per_second": 3.147,
"step": 900
},
{
"epoch": 1.46,
"grad_norm": 0.878511369228363,
"learning_rate": 0.00012736,
"loss": 0.162,
"step": 910
},
{
"epoch": 1.47,
"grad_norm": 1.1985282897949219,
"learning_rate": 0.00012656,
"loss": 0.2268,
"step": 920
},
{
"epoch": 1.49,
"grad_norm": 0.521425187587738,
"learning_rate": 0.00012576000000000002,
"loss": 0.1556,
"step": 930
},
{
"epoch": 1.5,
"grad_norm": 0.9773241877555847,
"learning_rate": 0.00012496000000000002,
"loss": 0.1457,
"step": 940
},
{
"epoch": 1.52,
"grad_norm": 1.6476322412490845,
"learning_rate": 0.00012416,
"loss": 0.1913,
"step": 950
},
{
"epoch": 1.54,
"grad_norm": 1.7127236127853394,
"learning_rate": 0.00012336,
"loss": 0.1961,
"step": 960
},
{
"epoch": 1.55,
"grad_norm": 4.41243314743042,
"learning_rate": 0.00012256000000000002,
"loss": 0.2061,
"step": 970
},
{
"epoch": 1.57,
"grad_norm": 1.5907992124557495,
"learning_rate": 0.00012176000000000001,
"loss": 0.1299,
"step": 980
},
{
"epoch": 1.58,
"grad_norm": 0.5711427927017212,
"learning_rate": 0.00012096000000000001,
"loss": 0.1755,
"step": 990
},
{
"epoch": 1.6,
"grad_norm": 2.925363302230835,
"learning_rate": 0.00012016,
"loss": 0.2328,
"step": 1000
},
{
"epoch": 1.6,
"eval_loss": 0.2884255647659302,
"eval_na_accuracy": 0.94,
"eval_ordinal_accuracy": 0.5617070357554786,
"eval_runtime": 39.4898,
"eval_samples_per_second": 25.323,
"eval_steps_per_second": 3.165,
"step": 1000
},
{
"epoch": 1.62,
"grad_norm": 1.1306260824203491,
"learning_rate": 0.00011936000000000001,
"loss": 0.1595,
"step": 1010
},
{
"epoch": 1.63,
"grad_norm": 1.8953267335891724,
"learning_rate": 0.00011856,
"loss": 0.2489,
"step": 1020
},
{
"epoch": 1.65,
"grad_norm": 0.7074128985404968,
"learning_rate": 0.00011776,
"loss": 0.2485,
"step": 1030
},
{
"epoch": 1.66,
"grad_norm": 0.7052355408668518,
"learning_rate": 0.00011696,
"loss": 0.2075,
"step": 1040
},
{
"epoch": 1.68,
"grad_norm": 0.7830259203910828,
"learning_rate": 0.00011616,
"loss": 0.2346,
"step": 1050
},
{
"epoch": 1.7,
"grad_norm": 0.5882430672645569,
"learning_rate": 0.00011536000000000001,
"loss": 0.2136,
"step": 1060
},
{
"epoch": 1.71,
"grad_norm": 1.0235962867736816,
"learning_rate": 0.00011456,
"loss": 0.1753,
"step": 1070
},
{
"epoch": 1.73,
"grad_norm": 0.9401603937149048,
"learning_rate": 0.00011376,
"loss": 0.173,
"step": 1080
},
{
"epoch": 1.74,
"grad_norm": 1.0735399723052979,
"learning_rate": 0.00011296,
"loss": 0.1993,
"step": 1090
},
{
"epoch": 1.76,
"grad_norm": 0.6592912673950195,
"learning_rate": 0.00011216,
"loss": 0.1826,
"step": 1100
},
{
"epoch": 1.76,
"eval_loss": 0.2869604229927063,
"eval_na_accuracy": 0.943,
"eval_ordinal_accuracy": 0.6043829296424452,
"eval_runtime": 39.3069,
"eval_samples_per_second": 25.441,
"eval_steps_per_second": 3.18,
"step": 1100
},
{
"epoch": 1.78,
"grad_norm": 2.1649601459503174,
"learning_rate": 0.00011135999999999999,
"loss": 0.221,
"step": 1110
},
{
"epoch": 1.79,
"grad_norm": 1.7881801128387451,
"learning_rate": 0.00011056,
"loss": 0.1765,
"step": 1120
},
{
"epoch": 1.81,
"grad_norm": 1.3527191877365112,
"learning_rate": 0.00010975999999999999,
"loss": 0.1325,
"step": 1130
},
{
"epoch": 1.82,
"grad_norm": 0.7212499976158142,
"learning_rate": 0.00010896,
"loss": 0.2445,
"step": 1140
},
{
"epoch": 1.84,
"grad_norm": 0.9492518901824951,
"learning_rate": 0.00010816,
"loss": 0.2704,
"step": 1150
},
{
"epoch": 1.86,
"grad_norm": 0.4344118535518646,
"learning_rate": 0.00010736000000000002,
"loss": 0.1624,
"step": 1160
},
{
"epoch": 1.87,
"grad_norm": 0.4115823209285736,
"learning_rate": 0.00010656000000000001,
"loss": 0.2069,
"step": 1170
},
{
"epoch": 1.89,
"grad_norm": 0.6738015413284302,
"learning_rate": 0.00010576000000000002,
"loss": 0.208,
"step": 1180
},
{
"epoch": 1.9,
"grad_norm": 0.9090007543563843,
"learning_rate": 0.00010496000000000001,
"loss": 0.1793,
"step": 1190
},
{
"epoch": 1.92,
"grad_norm": 1.1480025053024292,
"learning_rate": 0.00010416000000000002,
"loss": 0.2013,
"step": 1200
},
{
"epoch": 1.92,
"eval_loss": 0.29365527629852295,
"eval_na_accuracy": 0.941,
"eval_ordinal_accuracy": 0.5905420991926182,
"eval_runtime": 39.6842,
"eval_samples_per_second": 25.199,
"eval_steps_per_second": 3.15,
"step": 1200
},
{
"epoch": 1.94,
"grad_norm": 0.62380051612854,
"learning_rate": 0.00010336000000000001,
"loss": 0.192,
"step": 1210
},
{
"epoch": 1.95,
"grad_norm": 0.9949710965156555,
"learning_rate": 0.00010256000000000001,
"loss": 0.226,
"step": 1220
},
{
"epoch": 1.97,
"grad_norm": 1.0634446144104004,
"learning_rate": 0.00010176000000000002,
"loss": 0.142,
"step": 1230
},
{
"epoch": 1.98,
"grad_norm": 0.8875225782394409,
"learning_rate": 0.00010096000000000001,
"loss": 0.1729,
"step": 1240
},
{
"epoch": 2.0,
"grad_norm": 0.6193259358406067,
"learning_rate": 0.00010016,
"loss": 0.102,
"step": 1250
},
{
"epoch": 2.02,
"grad_norm": 0.4042517840862274,
"learning_rate": 9.936000000000001e-05,
"loss": 0.0976,
"step": 1260
},
{
"epoch": 2.03,
"grad_norm": 0.4051195979118347,
"learning_rate": 9.856e-05,
"loss": 0.1448,
"step": 1270
},
{
"epoch": 2.05,
"grad_norm": 0.46061789989471436,
"learning_rate": 9.776000000000001e-05,
"loss": 0.0768,
"step": 1280
},
{
"epoch": 2.06,
"grad_norm": 0.5934004783630371,
"learning_rate": 9.696000000000001e-05,
"loss": 0.1404,
"step": 1290
},
{
"epoch": 2.08,
"grad_norm": 0.6819984316825867,
"learning_rate": 9.616e-05,
"loss": 0.0663,
"step": 1300
},
{
"epoch": 2.08,
"eval_loss": 0.2954486608505249,
"eval_na_accuracy": 0.938,
"eval_ordinal_accuracy": 0.6251441753171857,
"eval_runtime": 39.658,
"eval_samples_per_second": 25.216,
"eval_steps_per_second": 3.152,
"step": 1300
},
{
"epoch": 2.1,
"grad_norm": 0.5849266052246094,
"learning_rate": 9.536000000000001e-05,
"loss": 0.1574,
"step": 1310
},
{
"epoch": 2.11,
"grad_norm": 0.9393780827522278,
"learning_rate": 9.456e-05,
"loss": 0.0979,
"step": 1320
},
{
"epoch": 2.13,
"grad_norm": 0.47529059648513794,
"learning_rate": 9.376e-05,
"loss": 0.1073,
"step": 1330
},
{
"epoch": 2.14,
"grad_norm": 0.4079722464084625,
"learning_rate": 9.296e-05,
"loss": 0.0868,
"step": 1340
},
{
"epoch": 2.16,
"grad_norm": 0.7292589545249939,
"learning_rate": 9.216e-05,
"loss": 0.1446,
"step": 1350
},
{
"epoch": 2.18,
"grad_norm": 0.9205511212348938,
"learning_rate": 9.136e-05,
"loss": 0.0907,
"step": 1360
},
{
"epoch": 2.19,
"grad_norm": 0.9218105673789978,
"learning_rate": 9.056e-05,
"loss": 0.1387,
"step": 1370
},
{
"epoch": 2.21,
"grad_norm": 0.5730422139167786,
"learning_rate": 8.976e-05,
"loss": 0.0882,
"step": 1380
},
{
"epoch": 2.22,
"grad_norm": 0.6922823190689087,
"learning_rate": 8.896e-05,
"loss": 0.0741,
"step": 1390
},
{
"epoch": 2.24,
"grad_norm": 1.1872971057891846,
"learning_rate": 8.816000000000001e-05,
"loss": 0.1503,
"step": 1400
},
{
"epoch": 2.24,
"eval_loss": 0.3187769651412964,
"eval_na_accuracy": 0.937,
"eval_ordinal_accuracy": 0.5986159169550173,
"eval_runtime": 39.7243,
"eval_samples_per_second": 25.173,
"eval_steps_per_second": 3.147,
"step": 1400
},
{
"epoch": 2.26,
"grad_norm": 2.3350443840026855,
"learning_rate": 8.736e-05,
"loss": 0.1083,
"step": 1410
},
{
"epoch": 2.27,
"grad_norm": 0.8266046643257141,
"learning_rate": 8.656000000000001e-05,
"loss": 0.0684,
"step": 1420
},
{
"epoch": 2.29,
"grad_norm": 0.41480687260627747,
"learning_rate": 8.576e-05,
"loss": 0.0809,
"step": 1430
},
{
"epoch": 2.3,
"grad_norm": 0.4657377600669861,
"learning_rate": 8.496e-05,
"loss": 0.0718,
"step": 1440
},
{
"epoch": 2.32,
"grad_norm": 0.5419800877571106,
"learning_rate": 8.416000000000001e-05,
"loss": 0.1322,
"step": 1450
},
{
"epoch": 2.34,
"grad_norm": 1.167611837387085,
"learning_rate": 8.336e-05,
"loss": 0.1017,
"step": 1460
},
{
"epoch": 2.35,
"grad_norm": 0.449034184217453,
"learning_rate": 8.256000000000001e-05,
"loss": 0.0636,
"step": 1470
},
{
"epoch": 2.37,
"grad_norm": 0.6716451048851013,
"learning_rate": 8.176e-05,
"loss": 0.1109,
"step": 1480
},
{
"epoch": 2.38,
"grad_norm": 4.306596755981445,
"learning_rate": 8.096e-05,
"loss": 0.0898,
"step": 1490
},
{
"epoch": 2.4,
"grad_norm": 0.41288742423057556,
"learning_rate": 8.016e-05,
"loss": 0.0611,
"step": 1500
},
{
"epoch": 2.4,
"eval_loss": 0.33932703733444214,
"eval_na_accuracy": 0.945,
"eval_ordinal_accuracy": 0.5997693194925029,
"eval_runtime": 39.236,
"eval_samples_per_second": 25.487,
"eval_steps_per_second": 3.186,
"step": 1500
},
{
"epoch": 2.42,
"grad_norm": 0.7951626181602478,
"learning_rate": 7.936e-05,
"loss": 0.0799,
"step": 1510
},
{
"epoch": 2.43,
"grad_norm": 1.0197049379348755,
"learning_rate": 7.856000000000001e-05,
"loss": 0.0928,
"step": 1520
},
{
"epoch": 2.45,
"grad_norm": 0.6486759185791016,
"learning_rate": 7.776e-05,
"loss": 0.0964,
"step": 1530
},
{
"epoch": 2.46,
"grad_norm": 1.0220657587051392,
"learning_rate": 7.696e-05,
"loss": 0.1736,
"step": 1540
},
{
"epoch": 2.48,
"grad_norm": 2.3006441593170166,
"learning_rate": 7.616e-05,
"loss": 0.0993,
"step": 1550
},
{
"epoch": 2.5,
"grad_norm": 0.4701670706272125,
"learning_rate": 7.536000000000001e-05,
"loss": 0.0779,
"step": 1560
},
{
"epoch": 2.51,
"grad_norm": 0.641832172870636,
"learning_rate": 7.456e-05,
"loss": 0.0586,
"step": 1570
},
{
"epoch": 2.53,
"grad_norm": 0.5836305618286133,
"learning_rate": 7.376000000000001e-05,
"loss": 0.053,
"step": 1580
},
{
"epoch": 2.54,
"grad_norm": 0.6500815153121948,
"learning_rate": 7.296e-05,
"loss": 0.0779,
"step": 1590
},
{
"epoch": 2.56,
"grad_norm": 0.5682386755943298,
"learning_rate": 7.216e-05,
"loss": 0.0743,
"step": 1600
},
{
"epoch": 2.56,
"eval_loss": 0.3182476758956909,
"eval_na_accuracy": 0.942,
"eval_ordinal_accuracy": 0.6482122260668973,
"eval_runtime": 40.5507,
"eval_samples_per_second": 24.66,
"eval_steps_per_second": 3.083,
"step": 1600
},
{
"epoch": 2.58,
"grad_norm": 0.5527540445327759,
"learning_rate": 7.136000000000001e-05,
"loss": 0.094,
"step": 1610
},
{
"epoch": 2.59,
"grad_norm": 0.8710426092147827,
"learning_rate": 7.056e-05,
"loss": 0.0839,
"step": 1620
},
{
"epoch": 2.61,
"grad_norm": 0.9312260746955872,
"learning_rate": 6.976000000000001e-05,
"loss": 0.155,
"step": 1630
},
{
"epoch": 2.62,
"grad_norm": 0.48695412278175354,
"learning_rate": 6.896e-05,
"loss": 0.0606,
"step": 1640
},
{
"epoch": 2.64,
"grad_norm": 0.525652289390564,
"learning_rate": 6.816e-05,
"loss": 0.0715,
"step": 1650
},
{
"epoch": 2.66,
"grad_norm": 0.7670960426330566,
"learning_rate": 6.736e-05,
"loss": 0.1108,
"step": 1660
},
{
"epoch": 2.67,
"grad_norm": 1.0041375160217285,
"learning_rate": 6.656e-05,
"loss": 0.1257,
"step": 1670
},
{
"epoch": 2.69,
"grad_norm": 0.3819805681705475,
"learning_rate": 6.576e-05,
"loss": 0.1004,
"step": 1680
},
{
"epoch": 2.7,
"grad_norm": 0.5372006893157959,
"learning_rate": 6.496e-05,
"loss": 0.0825,
"step": 1690
},
{
"epoch": 2.72,
"grad_norm": 0.5835949182510376,
"learning_rate": 6.416e-05,
"loss": 0.0908,
"step": 1700
},
{
"epoch": 2.72,
"eval_loss": 0.3332485854625702,
"eval_na_accuracy": 0.942,
"eval_ordinal_accuracy": 0.6482122260668973,
"eval_runtime": 39.9642,
"eval_samples_per_second": 25.022,
"eval_steps_per_second": 3.128,
"step": 1700
},
{
"epoch": 2.74,
"grad_norm": 0.677947461605072,
"learning_rate": 6.336e-05,
"loss": 0.1086,
"step": 1710
},
{
"epoch": 2.75,
"grad_norm": 0.7373325228691101,
"learning_rate": 6.256000000000001e-05,
"loss": 0.0698,
"step": 1720
},
{
"epoch": 2.77,
"grad_norm": 0.7738047242164612,
"learning_rate": 6.176e-05,
"loss": 0.1118,
"step": 1730
},
{
"epoch": 2.78,
"grad_norm": 2.052891254425049,
"learning_rate": 6.0960000000000006e-05,
"loss": 0.1002,
"step": 1740
},
{
"epoch": 2.8,
"grad_norm": 0.26311352849006653,
"learning_rate": 6.016000000000001e-05,
"loss": 0.0944,
"step": 1750
},
{
"epoch": 2.82,
"grad_norm": 0.8190409541130066,
"learning_rate": 5.936000000000001e-05,
"loss": 0.0717,
"step": 1760
},
{
"epoch": 2.83,
"grad_norm": 0.5824436545372009,
"learning_rate": 5.856e-05,
"loss": 0.0746,
"step": 1770
},
{
"epoch": 2.85,
"grad_norm": 0.5489352941513062,
"learning_rate": 5.776e-05,
"loss": 0.1063,
"step": 1780
},
{
"epoch": 2.86,
"grad_norm": 0.656225323677063,
"learning_rate": 5.6960000000000004e-05,
"loss": 0.0763,
"step": 1790
},
{
"epoch": 2.88,
"grad_norm": 0.8495000600814819,
"learning_rate": 5.6160000000000004e-05,
"loss": 0.1108,
"step": 1800
},
{
"epoch": 2.88,
"eval_loss": 0.32561835646629333,
"eval_na_accuracy": 0.943,
"eval_ordinal_accuracy": 0.6459054209919262,
"eval_runtime": 39.4673,
"eval_samples_per_second": 25.337,
"eval_steps_per_second": 3.167,
"step": 1800
},
{
"epoch": 2.9,
"grad_norm": 0.617258608341217,
"learning_rate": 5.536e-05,
"loss": 0.1203,
"step": 1810
},
{
"epoch": 2.91,
"grad_norm": 0.4484919011592865,
"learning_rate": 5.456e-05,
"loss": 0.0573,
"step": 1820
},
{
"epoch": 2.93,
"grad_norm": 0.533388614654541,
"learning_rate": 5.376e-05,
"loss": 0.0762,
"step": 1830
},
{
"epoch": 2.94,
"grad_norm": 0.4078121483325958,
"learning_rate": 5.296e-05,
"loss": 0.0643,
"step": 1840
},
{
"epoch": 2.96,
"grad_norm": 0.5678732395172119,
"learning_rate": 5.2159999999999995e-05,
"loss": 0.1126,
"step": 1850
},
{
"epoch": 2.98,
"grad_norm": 0.6543716192245483,
"learning_rate": 5.1359999999999996e-05,
"loss": 0.0763,
"step": 1860
},
{
"epoch": 2.99,
"grad_norm": 0.6005885601043701,
"learning_rate": 5.056000000000001e-05,
"loss": 0.0949,
"step": 1870
},
{
"epoch": 3.01,
"grad_norm": 0.4467845559120178,
"learning_rate": 4.976e-05,
"loss": 0.0481,
"step": 1880
},
{
"epoch": 3.02,
"grad_norm": 0.48746606707572937,
"learning_rate": 4.896e-05,
"loss": 0.0415,
"step": 1890
},
{
"epoch": 3.04,
"grad_norm": 0.7011713981628418,
"learning_rate": 4.816e-05,
"loss": 0.0786,
"step": 1900
},
{
"epoch": 3.04,
"eval_loss": 0.3222349286079407,
"eval_na_accuracy": 0.944,
"eval_ordinal_accuracy": 0.6539792387543253,
"eval_runtime": 39.2271,
"eval_samples_per_second": 25.493,
"eval_steps_per_second": 3.187,
"step": 1900
},
{
"epoch": 3.06,
"grad_norm": 0.5153183341026306,
"learning_rate": 4.736000000000001e-05,
"loss": 0.0387,
"step": 1910
},
{
"epoch": 3.07,
"grad_norm": 0.43751129508018494,
"learning_rate": 4.656e-05,
"loss": 0.0364,
"step": 1920
},
{
"epoch": 3.09,
"grad_norm": 0.7584701776504517,
"learning_rate": 4.576e-05,
"loss": 0.0397,
"step": 1930
},
{
"epoch": 3.1,
"grad_norm": 0.20170661807060242,
"learning_rate": 4.496e-05,
"loss": 0.0288,
"step": 1940
},
{
"epoch": 3.12,
"grad_norm": 0.2583639919757843,
"learning_rate": 4.4160000000000004e-05,
"loss": 0.0302,
"step": 1950
},
{
"epoch": 3.14,
"grad_norm": 3.9720704555511475,
"learning_rate": 4.336e-05,
"loss": 0.0484,
"step": 1960
},
{
"epoch": 3.15,
"grad_norm": 0.3367606997489929,
"learning_rate": 4.256e-05,
"loss": 0.0387,
"step": 1970
},
{
"epoch": 3.17,
"grad_norm": 0.7610962986946106,
"learning_rate": 4.176000000000001e-05,
"loss": 0.0424,
"step": 1980
},
{
"epoch": 3.18,
"grad_norm": 0.6901140213012695,
"learning_rate": 4.096e-05,
"loss": 0.035,
"step": 1990
},
{
"epoch": 3.2,
"grad_norm": 0.2873363196849823,
"learning_rate": 4.016e-05,
"loss": 0.043,
"step": 2000
},
{
"epoch": 3.2,
"eval_loss": 0.35012441873550415,
"eval_na_accuracy": 0.941,
"eval_ordinal_accuracy": 0.6482122260668973,
"eval_runtime": 39.427,
"eval_samples_per_second": 25.363,
"eval_steps_per_second": 3.17,
"step": 2000
},
{
"epoch": 3.22,
"grad_norm": 0.5277103781700134,
"learning_rate": 3.936e-05,
"loss": 0.0423,
"step": 2010
},
{
"epoch": 3.23,
"grad_norm": 0.3088182508945465,
"learning_rate": 3.8560000000000004e-05,
"loss": 0.0305,
"step": 2020
},
{
"epoch": 3.25,
"grad_norm": 0.3621159791946411,
"learning_rate": 3.776e-05,
"loss": 0.0398,
"step": 2030
},
{
"epoch": 3.26,
"grad_norm": 0.6761226654052734,
"learning_rate": 3.696e-05,
"loss": 0.0606,
"step": 2040
},
{
"epoch": 3.28,
"grad_norm": 0.9860779047012329,
"learning_rate": 3.616e-05,
"loss": 0.0437,
"step": 2050
},
{
"epoch": 3.3,
"grad_norm": 0.6743874549865723,
"learning_rate": 3.536000000000001e-05,
"loss": 0.0328,
"step": 2060
},
{
"epoch": 3.31,
"grad_norm": 1.5928354263305664,
"learning_rate": 3.456e-05,
"loss": 0.0261,
"step": 2070
},
{
"epoch": 3.33,
"grad_norm": 0.9067389965057373,
"learning_rate": 3.376e-05,
"loss": 0.0268,
"step": 2080
},
{
"epoch": 3.34,
"grad_norm": 0.5733221173286438,
"learning_rate": 3.296e-05,
"loss": 0.0335,
"step": 2090
},
{
"epoch": 3.36,
"grad_norm": 0.7042862772941589,
"learning_rate": 3.2160000000000004e-05,
"loss": 0.0472,
"step": 2100
},
{
"epoch": 3.36,
"eval_loss": 0.34554365277290344,
"eval_na_accuracy": 0.943,
"eval_ordinal_accuracy": 0.6608996539792388,
"eval_runtime": 40.1655,
"eval_samples_per_second": 24.897,
"eval_steps_per_second": 3.112,
"step": 2100
},
{
"epoch": 3.38,
"grad_norm": 0.8036783933639526,
"learning_rate": 3.136e-05,
"loss": 0.0402,
"step": 2110
},
{
"epoch": 3.39,
"grad_norm": 0.4863825738430023,
"learning_rate": 3.056e-05,
"loss": 0.0507,
"step": 2120
},
{
"epoch": 3.41,
"grad_norm": 0.5171158313751221,
"learning_rate": 2.976e-05,
"loss": 0.0333,
"step": 2130
},
{
"epoch": 3.42,
"grad_norm": 0.21965381503105164,
"learning_rate": 2.8960000000000004e-05,
"loss": 0.0277,
"step": 2140
},
{
"epoch": 3.44,
"grad_norm": 0.20841450989246368,
"learning_rate": 2.816e-05,
"loss": 0.0259,
"step": 2150
},
{
"epoch": 3.46,
"grad_norm": 0.5015869736671448,
"learning_rate": 2.7360000000000002e-05,
"loss": 0.0316,
"step": 2160
},
{
"epoch": 3.47,
"grad_norm": 0.7938678860664368,
"learning_rate": 2.6560000000000003e-05,
"loss": 0.0301,
"step": 2170
},
{
"epoch": 3.49,
"grad_norm": 0.44840845465660095,
"learning_rate": 2.576e-05,
"loss": 0.0406,
"step": 2180
},
{
"epoch": 3.5,
"grad_norm": 0.35510167479515076,
"learning_rate": 2.496e-05,
"loss": 0.0268,
"step": 2190
},
{
"epoch": 3.52,
"grad_norm": 0.37328681349754333,
"learning_rate": 2.4160000000000002e-05,
"loss": 0.032,
"step": 2200
},
{
"epoch": 3.52,
"eval_loss": 0.35616353154182434,
"eval_na_accuracy": 0.94,
"eval_ordinal_accuracy": 0.6516724336793541,
"eval_runtime": 40.3825,
"eval_samples_per_second": 24.763,
"eval_steps_per_second": 3.095,
"step": 2200
},
{
"epoch": 3.54,
"grad_norm": 0.24070143699645996,
"learning_rate": 2.336e-05,
"loss": 0.0262,
"step": 2210
},
{
"epoch": 3.55,
"grad_norm": 1.0428861379623413,
"learning_rate": 2.256e-05,
"loss": 0.04,
"step": 2220
},
{
"epoch": 3.57,
"grad_norm": 0.626348614692688,
"learning_rate": 2.176e-05,
"loss": 0.0275,
"step": 2230
},
{
"epoch": 3.58,
"grad_norm": 0.47826460003852844,
"learning_rate": 2.0960000000000003e-05,
"loss": 0.0379,
"step": 2240
},
{
"epoch": 3.6,
"grad_norm": 2.685340166091919,
"learning_rate": 2.016e-05,
"loss": 0.047,
"step": 2250
},
{
"epoch": 3.62,
"grad_norm": 0.1495877057313919,
"learning_rate": 1.936e-05,
"loss": 0.0389,
"step": 2260
},
{
"epoch": 3.63,
"grad_norm": 0.5789759755134583,
"learning_rate": 1.856e-05,
"loss": 0.0337,
"step": 2270
},
{
"epoch": 3.65,
"grad_norm": 0.4255303144454956,
"learning_rate": 1.7760000000000003e-05,
"loss": 0.0282,
"step": 2280
},
{
"epoch": 3.66,
"grad_norm": 0.7483348846435547,
"learning_rate": 1.696e-05,
"loss": 0.0668,
"step": 2290
},
{
"epoch": 3.68,
"grad_norm": 0.23885439336299896,
"learning_rate": 1.616e-05,
"loss": 0.0434,
"step": 2300
},
{
"epoch": 3.68,
"eval_loss": 0.34990155696868896,
"eval_na_accuracy": 0.94,
"eval_ordinal_accuracy": 0.6597462514417531,
"eval_runtime": 40.407,
"eval_samples_per_second": 24.748,
"eval_steps_per_second": 3.094,
"step": 2300
},
{
"epoch": 3.7,
"grad_norm": 0.3341818153858185,
"learning_rate": 1.536e-05,
"loss": 0.0358,
"step": 2310
},
{
"epoch": 3.71,
"grad_norm": 0.6008884310722351,
"learning_rate": 1.4560000000000001e-05,
"loss": 0.0394,
"step": 2320
},
{
"epoch": 3.73,
"grad_norm": 0.3966546654701233,
"learning_rate": 1.376e-05,
"loss": 0.0346,
"step": 2330
},
{
"epoch": 3.74,
"grad_norm": 0.46933791041374207,
"learning_rate": 1.296e-05,
"loss": 0.0227,
"step": 2340
},
{
"epoch": 3.76,
"grad_norm": 0.6652282476425171,
"learning_rate": 1.216e-05,
"loss": 0.0393,
"step": 2350
},
{
"epoch": 3.78,
"grad_norm": 0.23938482999801636,
"learning_rate": 1.1360000000000001e-05,
"loss": 0.0267,
"step": 2360
},
{
"epoch": 3.79,
"grad_norm": 0.6050881147384644,
"learning_rate": 1.056e-05,
"loss": 0.0287,
"step": 2370
},
{
"epoch": 3.81,
"grad_norm": 0.22671189904212952,
"learning_rate": 9.760000000000001e-06,
"loss": 0.0491,
"step": 2380
},
{
"epoch": 3.82,
"grad_norm": 0.5296955704689026,
"learning_rate": 8.96e-06,
"loss": 0.0266,
"step": 2390
},
{
"epoch": 3.84,
"grad_norm": 0.5424560308456421,
"learning_rate": 8.160000000000001e-06,
"loss": 0.0341,
"step": 2400
},
{
"epoch": 3.84,
"eval_loss": 0.3610887825489044,
"eval_na_accuracy": 0.94,
"eval_ordinal_accuracy": 0.6482122260668973,
"eval_runtime": 40.741,
"eval_samples_per_second": 24.545,
"eval_steps_per_second": 3.068,
"step": 2400
},
{
"epoch": 3.86,
"grad_norm": 0.4790421724319458,
"learning_rate": 7.36e-06,
"loss": 0.0319,
"step": 2410
},
{
"epoch": 3.87,
"grad_norm": 0.4021483063697815,
"learning_rate": 6.560000000000001e-06,
"loss": 0.0551,
"step": 2420
},
{
"epoch": 3.89,
"grad_norm": 0.43051794171333313,
"learning_rate": 5.76e-06,
"loss": 0.0281,
"step": 2430
},
{
"epoch": 3.9,
"grad_norm": 0.23781944811344147,
"learning_rate": 4.96e-06,
"loss": 0.0306,
"step": 2440
},
{
"epoch": 3.92,
"grad_norm": 0.6060004234313965,
"learning_rate": 4.16e-06,
"loss": 0.0326,
"step": 2450
},
{
"epoch": 3.94,
"grad_norm": 0.5149852633476257,
"learning_rate": 3.36e-06,
"loss": 0.0266,
"step": 2460
},
{
"epoch": 3.95,
"grad_norm": 0.579931914806366,
"learning_rate": 2.56e-06,
"loss": 0.0236,
"step": 2470
},
{
"epoch": 3.97,
"grad_norm": 0.14379101991653442,
"learning_rate": 1.76e-06,
"loss": 0.0221,
"step": 2480
},
{
"epoch": 3.98,
"grad_norm": 0.5184658765792847,
"learning_rate": 9.6e-07,
"loss": 0.0281,
"step": 2490
},
{
"epoch": 4.0,
"grad_norm": 0.5299363732337952,
"learning_rate": 1.6e-07,
"loss": 0.0305,
"step": 2500
},
{
"epoch": 4.0,
"eval_loss": 0.36354970932006836,
"eval_na_accuracy": 0.939,
"eval_ordinal_accuracy": 0.6608996539792388,
"eval_runtime": 40.233,
"eval_samples_per_second": 24.855,
"eval_steps_per_second": 3.107,
"step": 2500
},
{
"epoch": 4.0,
"step": 2500,
"total_flos": 3.0997907103744e+18,
"train_loss": 0.15650403581261635,
"train_runtime": 3981.9696,
"train_samples_per_second": 10.045,
"train_steps_per_second": 0.628
}
],
"logging_steps": 10,
"max_steps": 2500,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 100,
"total_flos": 3.0997907103744e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}